Conservation and sustainable use: a handbook of techniques
In: Techniques in ecology and conservation series
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In: Techniques in ecology and conservation series
In: Environmental and resource economics, Band 3, Heft 1, S. 73-95
ISSN: 1573-1502
In: Conservation and Sustainable Use, S. 155-193
In: Conservation and Sustainable Use, S. 125-154
In: Conservation and Sustainable Use, S. 13-82
In: Conservation and Sustainable Use, S. 83-124
In: Conservation and Sustainable Use, S. 196-238
In: Conservation and Sustainable Use, S. 239-276
Game-theoretic modelling is used to study the design of an agreement among residents to conserve a wildlife resource, by not hunting animals illegally, when the community monitors its own behaviour. The analysis demonstrates that such an agreement may be very much costlier for a government to sustain if its incentive structure avoids the payment of monitoring fees, and instead relies on community benefits for conservation, with bonuses for reporting poachers. Conditions are identified for the agreement to be stable against both the temptation to avoid monitoring and the temptation to poach, either with guns or by snaring. In particular, the size of the community must exceed a critical value. Implications are discussed for community-based wildlife management programmes in Africa.
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In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 18, Heft 3
ISSN: 1708-3087
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 15, Heft 1
ISSN: 1708-3087
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 14, Heft 2
ISSN: 1708-3087
In: Griffiths , V F , Bull , J W , Baker , J & Milner-Gulland , E J 2019 , ' No net loss for people and biodiversity ' , Conservation Biology , vol. 33 , no. 1 , pp. 76-87 . https://doi.org/10.1111/cobi.13184
Governments, businesses, and lenders worldwide are adopting an objective of no net loss (NNL) of biodiversity that is often partly achieved through biodiversity offsetting within a hierarchy of mitigation actions. Offsets aim to balance residual losses of biodiversity caused by development in one location with commensurate gains at another. Although ecological challenges to achieve NNL are debated, the associated gains and losses for local stakeholders have received less attention. International best practice calls for offsets to make people no worse off than before implementation of the project, but there is a lack of clarity concerning how to achieve this with regard to people's use and nonuse values for biodiversity, especially given the inevitable trade‐offs when compensating biodiversity losses with gains elsewhere. This is particularly challenging for countries where poor people depend on natural resources. Badly planned offsets can exacerbate poverty, and development and offset impacts can vary across spatial‐temporal scales and by location, gender, and livelihood. We conceptualize the no‐worse‐off principle in the context of NNL of biodiversity, by exploring for whom and how the principle can be achieved. Changes in the spatial and temporal distribution of biodiversity‐related social impacts of a development and its associated offset can lead to social inequity and negatively impact people's well‐being. The level of aggregation (regional, village, interest group, household, and individual) at which these social impacts are measured and balanced can again exacerbate inequity in a system. We propose that a determination that people are no worse off, and preferably better off, after a development and biodiversity offset project than they were before the project should be based on the perceptions of project‐affected people (assessed at an appropriate level of aggregation); that their well‐being associated with biodiversity losses and gains should be at least as good as it was before the project; and that this level of well‐being should be maintained throughout the project life cycle. Employing this principle could help ensure people are no worse off as a result of interventions to achieve biodiversity NNL.
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